Opportunity Information: Apply for 15 595

  • The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Collaborative Research in Computational Neuroscience" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.041 Engineering Grants 47.049 Mathematical and Physical Sciences 47.070 Computer and Information Science and Engineering 47.074 Biological Sciences 47.075 Social, Behavioral, and Economic Sciences 47.079 Office of International Science and Engineering 93.173 Research Related to Deafness and Communication Disorders 93.213 Research and Training in Complementary and Integrative Health 93.242 Mental Health Research Grants 93.273 Alcohol Research Programs 93.279 Drug Abuse and Addiction Research Programs 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders 93.865 Child Health and Human Development Extramural Research 93.867 Vision Research.
  • This funding opportunity was created on Aug 1, 2015 and posted on Aug 1, 2015.
  • Applicants must submit their applications by Oct 29, 2015. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • The funding agency has allocated a total of $20,000,000.00 to eligible and selected applicants.
  • The number of recipients for this funding is limited to 25 candidate(s).
  • Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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Opportunity Summary:

The Collaborative Research in Computational Neuroscience (CRCNS) grant opportunity is a joint, multi-agency program designed to fund collaborative projects that use computational and theoretical approaches to better understand the nervous system. The program sits at the intersection of neuroscience and computation, drawing on methods and findings from computer science, engineering, mathematics, biology, and related disciplines. Its core purpose is to advance knowledge of how nervous systems are structured and function, to deepen understanding of mechanisms involved in nervous system disorders, and to clarify the computational strategies the nervous system itself uses to process information and control behavior.

A key feature of CRCNS is that it explicitly supports teamwork across institutions and, in many cases, across national borders. The participating organizations include the National Science Foundation (NSF) and the National Institutes of Health (NIH) in the United States, along with international partners: Germanys Federal Ministry of Education and Research (BMBF), the French National Research Agency (ANR), and the United States Israel Binational Science Foundation (BSF). Projects can be domestic or international, and when an international collaboration is proposed, the non-US portions may be supported through parallel funding mechanisms by the relevant partner agencies. The solicitation highlights several specific pathways for international collaboration, including bilateral options (US-Germany and US-France for both research and data sharing; US-Israel for research) as well as multilateral proposals that involve the United States plus two or more additional countries.

The solicitation accepts two main types of submissions. Research Proposals support collaborative research projects that develop or apply computational models, analytic methods, and data-driven approaches to questions in neuroscience and neurobiology. Data Sharing Proposals are aimed at enabling broader community access to data sets and other research resources, recognizing that progress in computational neuroscience often depends on well-curated, usable, and widely shared data and tools. This two-track structure signals that the program values both new scientific discovery and the infrastructure needed for reproducible, scalable research across labs and disciplines.

From a practical standpoint, NSF serves as the coordinating hub for the review process. Proposals are evaluated through a joint panel review process that involves NSF and the participating domestic and foreign funding organizations. Because the program spans multiple agencies with different scientific missions, applicants are encouraged to confirm alignment between their project and the priorities of the relevant funder. The solicitation directs investigators to consult the agency contact list (in the referenced Section VIII) to clarify whether a proposed topic, approach, or collaboration structure is a good fit for a specific participating organization.

In terms of funding mechanics and basic facts, this opportunity is a discretionary grant program in the Science and Technology and other Research and Development category. The total estimated funding listed is $20,000,000, with an expectation of about 25 awards. It has no cost sharing or matching requirement. Eligibility is described as unrestricted (open to any type of entity), subject to any additional clarifications in the full solicitation text. The funding opportunity number is 15-595, titled Collaborative Research in Computational Neuroscience, and it is associated with a wide range of CFDA numbers spanning NSF directorates (engineering, mathematical and physical sciences, computer and information science and engineering, biological sciences, social, behavioral, and economic sciences, and international science and engineering) as well as multiple NIH research areas relevant to neuroscience, mental health, addiction, child health and development, vision research, and related domains.

The timeline information provided in the source indicates the posting and creation date as Aug 1, 2015, with an original and current closing date of Oct 29, 2015, and an archive date of Nov 28, 2015. Additional details were made available through NSF Publication 15-595, and applicants needing technical help accessing the announcement were directed to NSF grants.gov support at grantsgovsupport@nsf.gov.

Collaborative Research in Computational Neuroscience (CRCNS) Grant (15-595): FAQs

1) What is the CRCNS program?

The Collaborative Research in Computational Neuroscience (CRCNS) program is a joint, multi-agency government grant opportunity that supports collaborative projects using computational and theoretical approaches to better understand the nervous system.

2) What is the main purpose of CRCNS funding?

CRCNS aims to advance knowledge of how nervous systems are structured and how they function, deepen understanding of mechanisms involved in nervous system disorders, and clarify the computational strategies the nervous system uses to process information and control behavior.

3) What kinds of disciplines and methods does CRCNS draw on?

The program sits at the intersection of neuroscience and computation, drawing on methods and findings from computer science, engineering, mathematics, biology, and related disciplines.

4) Who are the participating agencies and partners?

Participating organizations include the National Science Foundation (NSF) and the National Institutes of Health (NIH) in the United States, along with international partners: Germany's Federal Ministry of Education and Research (BMBF), the French National Research Agency (ANR), and the United States-Israel Binational Science Foundation (BSF).

5) Does CRCNS support collaborative projects across institutions?

Yes. A key feature of CRCNS is explicit support for teamwork across institutions.

6) Are international collaborations allowed under CRCNS?

Yes. Projects can be domestic or international, and the solicitation describes multiple pathways for international collaboration.

7) How are non-US parts of an international collaboration funded?

When an international collaboration is proposed, the non-US portions may be supported through parallel funding mechanisms by the relevant partner agencies (for example, BMBF, ANR, or BSF, depending on the collaboration).

8) What international collaboration options are specifically highlighted?

The solicitation highlights bilateral options (US-Germany and US-France for both research and data sharing; US-Israel for research) as well as multilateral proposals involving the United States plus two or more additional countries.

9) What are the two main types of submissions accepted?

The opportunity accepts two submission types: Research Proposals and Data Sharing Proposals.

10) What is a Research Proposal under CRCNS?

Research Proposals support collaborative research projects that develop or apply computational models, analytic methods, and data-driven approaches to questions in neuroscience and neurobiology.

11) What is a Data Sharing Proposal under CRCNS?

Data Sharing Proposals focus on enabling broader community access to data sets and other research resources, reflecting the program's emphasis on well-curated, usable, and widely shared data and tools.

12) Does CRCNS fund both scientific discovery and research infrastructure?

Yes. The two-track structure signals that CRCNS values both new scientific discovery (Research Proposals) and the infrastructure needed for reproducible, scalable research across labs and disciplines (Data Sharing Proposals).

13) Which agency coordinates the review process?

NSF serves as the coordinating hub for the review process.

14) How are proposals reviewed?

Proposals are evaluated through a joint panel review process involving NSF and the participating domestic and foreign funding organizations.

15) Should applicants check alignment with a specific funder's priorities?

Yes. Because CRCNS spans multiple agencies with different scientific missions, the solicitation encourages applicants to confirm that their project aligns with the priorities of the relevant funder.

16) Where should applicants look for points of contact to confirm fit?

The solicitation directs investigators to consult the agency contact list referenced as Section VIII to clarify whether a proposed topic, approach, or collaboration structure is a good fit for a specific participating organization.

17) What kind of grant program is this (category/type)?

This opportunity is described as a discretionary grant program in the Science and Technology and other Research and Development category.

18) What is the estimated total funding amount for this opportunity?

The total estimated funding listed is $20,000,000.

19) Approximately how many awards are expected?

The opportunity indicates an expectation of about 25 awards.

20) Is cost sharing or matching required?

No. The solicitation states there is no cost sharing or matching requirement.

21) Who is eligible to apply?

Eligibility is described as unrestricted (open to any type of entity), subject to any additional clarifications in the full solicitation text.

22) What is the funding opportunity number and title?

The funding opportunity number is 15-595, titled Collaborative Research in Computational Neuroscience.

23) What kinds of program areas or CFDA areas are associated with CRCNS?

The opportunity is associated with a wide range of CFDA numbers spanning NSF directorates (engineering; mathematical and physical sciences; computer and information science and engineering; biological sciences; social, behavioral, and economic sciences; and international science and engineering) as well as multiple NIH research areas relevant to neuroscience, mental health, addiction, child health and development, vision research, and related domains.

24) What are the key posted dates in the timeline provided?

The timeline information provided indicates a posting/creation date of Aug 1, 2015, an original and current closing date of Oct 29, 2015, and an archive date of Nov 28, 2015.

25) Where were additional details published for this opportunity?

Additional details were made available through NSF Publication 15-595.

26) Where can applicants get technical help accessing the announcement?

Applicants needing technical help accessing the announcement were directed to NSF grants.gov support at grantsgovsupport@nsf.gov.

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